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| Language | C |
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| Owner | sriram |
| Created | 1 year ago |
| Modified | 1 year ago |
| Visibility | Public |
Build a classification model using Decision Tree algorithm on iris dataset
import pandas as pd
[2]: import numpy as np
[3]: from sklearn.datasets import load_iris
[4]: from sklearn.metrics import accuracy_score
[5]: data=load_iris()
[6]: data
[6]: {'data': array([[5.1, 3.5, 1.4, 0.2],
[4.9, 3. , 1.4, 0.2],
[4.7, 3.2, 1.3, 0.2],
[4.6, 3.1, 1.5, 0.2],
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